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9,113 results for “Sampling”
Fall 2011 grasshopper monitoring -- mid-marsh grasshopper abundance and species diversity at eight GCE LTER sampling sites
Grasshopper abundance and species diversity were investigated at eight sampling sites within the Georgia Coastal Ecosystems (GCE) LTER study area in July 2011. Visual surveys were conducted along 8 2m by 10m transects randomly allocated within the mid-marsh zone at each site. All grasshoppers observed within each transect were counted and identified to species, if possible. This survey was conducted as part of the GCE invertebrate monitoring program, and will be performed annually to assess long-term changes in relative species abundances across the GCE study area.
Fall 2000 fungal monitoring -- marshgrass ergosterol content and ascospore release rates at 10 GCE sampling sites
Leaves of dominant marsh plants were collected from permanent plots in 10 GCE LTER sampling sites in order to assess the relative biomass and activity of fungal decomposers. The quantity of ergosterol, a specific fungal cell-membrane component, and the rate of ascomycete spore expulsion were measured in pooled lots of leaves from the dominant marsh vegetation at each site. Samples were collected from both creek bank and mid-marsh habitats. The dry weight and organic content of the plant material was also measured. This study is part of the GCE microbial decomposer monitoring program, and will be repeated annually to assess long-term patterns of fungal activity in relation to various environmental factors.
Fall 2012 grasshopper monitoring -- mid-marsh grasshopper abundance and species diversity at eight GCE LTER sampling sites
Grasshopper abundance and species diversity were investigated at eight sampling sites within the Georgia Coastal Ecosystems (GCE) LTER study area in August 2012. Visual surveys were conducted along 8 2m by 10m transects randomly allocated within the mid-marsh zone at each site. All grasshoppers observed within each transect were counted and identified to species, if possible. This survey was conducted as part of the GCE invertebrate monitoring program, and will be performed annually to assess long-term changes in relative species abundances across the GCE study area.
November 2001 to March 2003 water column chlorophyll and phaeopigment concentrations for Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected from the surface and the bottom of the water column at ten GCE-LTER sampling sites and from the surface of the water column during a low water transect along the Altamaha River in November 2001, March 2002, June 2002, September 2002, December 2002, and March 2003 . Samples were taken at various times of day and under various tidal conditions. The particulate matter was separated by filtration and analyzed for chlorophyll and phaeopigment content by flourometric analysis. This study was part of the GCE-LTER hydrographic monitoring program, and is repeated quarterly.
Fall 2001 grasshopper monitoring -- mid-marsh grasshopper abundance and species diversity at eight GCE LTER sampling sites
Grasshopper abundance and species diversity were investigated at eight sampling sites within the Georgia Coastal Ecosystems (GCE) LTER study area in August 2001. Visual surveys were conducted along 10 2m by 10m transects randomly allocated within the mid-marsh zone at each site. All grasshoppers observed within each transect were counted and identified to species, if possible. This survey was conducted as part of the GCE invertebrate monitoring program, and will be performed annually to assess long-term changes in relative species abundances across the GCE study area.
Plant allometry at GCE sampling sites 1-10 in October between 2002 and 2020.
The relationship between height and mass (allometry) was measured for plants collected from Georgia Coastal Ecosystems sampling sites 1-10 in October between 2002 and 2020. This dataset includes data from previous allometry measurements (PLT-GCEM-0211b and PLT-GCEM-0711) and data from 2 additional species measured at site 8 in 2020. Shoots or leaves (Juncus) were collected adjacent to permanent plots in each marsh zone by clipping at the soil surface. Dead leaves were removed from shoots. Height, flowering status (Spartina, Typha and Panicum species only), number of leaves (Spartina species and Zizaniopsis), and dry mass were measured for each plant. The allometric relationships determined in this study will allow annual GCE plant monitoring data to be converted from height to mass. This study may be repeated in the future to examine temporal trends in relation to environmental changes.
Fall 2001 plant monitoring survey -- shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10
A quadrat survey was conducted in October 2001 to measure the species and size distribution of plants at 10 GCE LTER sampling sites. The quadrats were established as permanent plots at GCE sampling sites in October 2000 by placing wooden stakes at random locations across two nominal zones at each site, designated based on marsh structure (creekbank and high marsh). Several new plots were also added in October 2001 to replace those lost due to catastrophic wrack disturbance or creek bank erosion. The plots were visually surveyed and the species, shoot height, and flowering status was recorded individually for each shoot over 10 cm in height present in each plot. Observations from plots exhibiting signs of disturbance were noted in the data set. This survey will be repeated annually to assess changes in plant distribution and biomass in relation to environmental changes documented by other GCE LTER monitoring efforts.
Fall 2001 fungal monitoring -- marshgrass ergosterol content and ascospore release rates at 10 GCE sampling sites
Leaves of dominant marsh plants were collected from permanent plots in 10 GCE LTER sampling sites in order to assess the relative biomass and activity of fungal decomposers. The quantity of ergosterol, a specific fungal cell-membrane component, and the rate of ascomycete spore expulsion were measured in pooled lots of leaves from the dominant marsh vegetation at each site. Samples were collected from both creek bank and mid-marsh habitats. The dry weight and organic content of the plant material was also measured. This study is part of the GCE microbial decomposer monitoring program, and will be repeated annually to assess long-term patterns of fungal activity in relation to various environmental factors.
Optimizing sampling across methods improves the power of ecological monitoring data
Transect-based monitoring has long been a valuable tool in ecosystem monitoring. These transects are often used to measure multiple ecosystem attributes. The line-point intercept (LPI), vegetation height, and canopy gap intercept methods comprise a set of core methods, which provide indicators of ecosystem condition. However, users struggle to design a sampling strategy that optimizes the ability to detect ecological change using transect-based methods. We assessed the sensitivity of these core methods on a one-hectare plot to transect length, number, and sampling interval to determine: 1) minimum sampling required to describe ecosystem characteristics and detect change for each method and 2) optimal transect length and number for all three methods to make recommendations for future analyses and monitoring efforts. We used data from 13 National Wind Erosion Research Network locations spanning the western US, which included 151 measurements over time across five biomes. We found that longer and increased numbers of transects were more important for reducing sampling error than increased sample intensity along transects. For all methods and indicators across plots, three 100-m transects reduced sampling error so that indicator estimates fall within an 95% confidence interval of +/- 5% for canopy gap intercept and LPI-total foliar cover, +/- 5 cm for height and +/- two species for LPI-species counts. For the same criteria at 80% confidence intervals, two 100-m transects are needed. Site-scale inference was strongly affected by sample design, consequently our understanding of ecological dynamics may be influenced by sampling decisions.
Archived plant, soil, water and microbial samples at the Kellogg Biological Station, Hickory Corners, MI (1988 to 2016)
Dataset AbstractPlants, soil, water and microbial samples are archived. Small quantities are available for research by contacting: Plant and Soil Samples — Stacey Vanderwulp Water Samples — Steve Hamilton Microbial Samples — Tom Schmidt original data source http://lter.kbs.msu.edu/datasets/55
CSM09 Small mammal host-parasite sampling data associated with the Consume herbivore exclusion plots across two burned and native-grazed watersheds at Konza Prairie
Data set contains summaries of the number of individuals of each species of small mammal captured (relative abundance) on each trapping grid. Each record contains date, treatment, grid, trap station, species, specimen number, recapture status, specimen disposition, external body measurements (where applicable), reproductive information, and miscellaneous associated comments. These sampling records are based on nightly captures during one 4-night trapping period in fall (October concurrent with annual bison roundup activites) for each of 4 permanent trapping grids established on two fire/grazing treatments (two grids per treatment). These treatments are both grazed by native grazers (bison) and include one treatment burned annually (N1A) and one treatment burned every 4 years (N4B). In each treatment, sampling grids are arranged as 5 x 10 permanent stakes spaced 10m apart and labeled numerically between 1-50 for grid A and 51-100 for grid B. One grid per treatment (grid A) is sampled using capture-mark-release methods and the other grid in each treatment (grid B) is sampled using specimen removal and subsequent whole body processing and curation.
Flooded forest plot sampling in Peru
In order to better understand how flooding and gap formation affect Amazonian rainforests, I set up plots both in three major forest types that differed by flooding duration (referred to here as dry, wet, very wet) and in their respective gaps. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Biophysicochemical properties and hyperspectral reflectance values of biocrust and soil samples, Fryxell Basin, McMurdo Dry Valleys, Antarctica (2022)
This data package includes biophysicochemical properties of biocrust and soil samples collected in-situ within the Lake Fryxell basin of the McMurdo Dry Valleys, Antarctica during December 2022 at 64 different terrestrial locations. These parameters include biological (ash-free dry mass, pigment concentration, soil invertebrate counts), physical (gravimetric water content, electrical conductivity, pH), and chemical (inorganic nitrogen, inorganic phosphorous, total nitrogen, soil organic carbon) properties of the surface soil, biocrust, and underlying soil. This package also contains reflectance measurements of individual grab samples of biocrust, soil, and rock collected from each of the field sites, acquired in a laboratory using a hyperspectral spectrometer. Additionally, this package contains parameters derived solely from geospatial data for each of the field sites, including aspect, slope, elevation, gravimetric water content, and snow frequency. These data were used to model habitat suitability of biocrusts in the Fryxell Basin using both in-situ field survey data and geospatial parameters. They aid in our understanding of the ecology of biocrust communities, where they are located throughout the Fryxell basin, and the structure and functioning of these microhabitats as well as improving understanding of the regional carbon budget. These data also highlight the importance of snow patch-associated biocrust communities, which are understudied but likely an important piece of the overall carbon budget in this region.
Trace metal, ion, and nutrient concentrations in aeolian samples subjected to experimental freeze-thaw cycles, collected from Taylor Valley, McMurdo Dry Valleys, Antarctica (2013-2016)
This data package contains measurements of trace metal, ion, and nutrient concentrations in aeolian samples collected from several locations throughout Taylor Valley in the McMurdo Dry Valleys of Antarctica during the 2013-2014, 2014-2015, and 2015-2016 austral summers. Samples were collected by the McMurdo Dry Valleys Long Term Ecological Research Program (MCM LTER) using Big Spring Number Eight (BSNE) isokinetic wind samplers located at Explorer’s Cove, Lake Fryxell at F6, East Lake Bonney, and Taylor Glacier. Samples were then subjected to experimental freeze-thaw cycles in a controlled laboratory setting to simulate supraglacial weathering processes and then analyzed to understand how freeze-thaw cycles affect nutrient, ion, and trace metal concentrations over time.
Dissolved organic carbon (DOC) concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2022, ongoing)
The McMurdo Long Term Ecological Research (LTER) project monitors patterns of organic material transport in perennial ice-capped lakes. This data set addresses this core area of research and quantifies dissolved organic carbon concentrations at specific depths in McMurdo Dry Valley lakes.
Ion concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1991-2019, ongoing)
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic aqueous geochemical sampling program has been undertaken. A series of terrestrial water samples have been collected and analyzed for major ion chemistry by ion chromatography. The concentrations of ions cover a wide range of total dissolved solids from fresh to hypersaline lake waters. This dataset shows concentrations of lithium, sodium, potassium, magnesium, calcium, chloride, bromide, silicon, fluoride, SO4, found in various depths of Taylor Valley lakes.
Microplankton counts from discrete water column samples using flow imaging microscopy (FlowCam) from Lakes Fryxell and Hoare, McMurdo Dry Valleys, Antarctica (2007-2011)
This data package consists of microplankton counts from discrete water column samples collected at various depths in Lake Fryxell and Lake Hoare in the McMurdo Dry Valleys region of Antarctica. Samples were collected and preserved during the austral summer-autumn transition in 2007-2008 and in addition to routine McMurdo Dry Valley Long Term Ecological Research (LTER) core limnological sampling in November and December of 2008, 2010, and 2011. Data were imaged using flow cytometry (FlowCam VS-IV) and classified with statistical image-based software (Visual Spreadsheet, v4.17.14). These data include haptorian ciliates, filamentous cyanobacteria, and coccoidal algae particle counts per milliliter that were automatically classified from user-built libraries and statistical filters based on the morphological characterizations of the plankton.
Haptorian ciliate measurements from discrete water column samples using flow imaging microscopy (FlowCam) from Lakes Fryxell and Hoare, McMurdo Dry Valleys, Antarctica (2007-2020)
This data package consists of particle diameter and biovolume data for haptorian ciliates classified from discrete water column samples collected at various depths in Lake Fryxell and Lake Hoare in the McMurdo Dry Valleys region of Antarctica. Samples were collected and preserved between November 2007 and January 2020 in Lake Fryxell and between November 2007 and March 2008 in Lake Hoare. Samples were collected and analyzed as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) core limnological sampling. Data were imaged using flow cytometry (FlowCam VS-IV) and imaged particles were classified with statistical image-based software (Visual Spreadsheet, v4.17.14). Diameter and biovolume was generated for each particle using FlowCam’s area-based diameter (ABD) algorithm.
Nitrate (15N) Uptake from samples collected aboard Palmer LTER annual cruises off the Western Antarctic Peninsula, 2012-2014
Nitrate uptake by the bulk phytoplankton community was determined using tracer (<10%) additions of labeled 15-NO3. Samples were collected by Go-Flo from 5 depths 0, 5, 10, 20, 65 m and incubated for 24 h at light levels of 100%, 50%, 25%, 10%, and 0% surface irradiance, respectively.
Monthly small nekton samplings collected in the Plum Island Estuary in 1998
Monthly small nekton samplings collected by seine in the Plum Island Estuary in 1998. The collections were conducted in a manner similar to the Massachusetts Division of Marine Fisheries study in 1965, "A Study of the Marine Resources of the Parker River-Plum Island Sound Estuary, Jerome et al., 1968.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.